Llama 2 7B 32K Instruct [float16] [rev: 35696b9a7ab3]: benchmark results
Provider: Meta. Access: Open.
Aggregate Rating 1297 ± 35, rank #8780 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - HellaSwag | 78.51 | Normalized accuracy (%) (10-shot) | 34.1 |
| Open LLM Leaderboard v1 - WinoGrande | 73.88 | Accuracy (%) (5-shot) | 33.9 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 44.86 | MC2 (%) (0-shot) | 28.8 |
| Open LLM Leaderboard v1 - ARC Challenge | 51.11 | Normalized accuracy (%) (25-shot) | 25.5 |
| Open LLM Leaderboard v1 - GSM8K | 5.69 | Accuracy (%) (5-shot) | 24.6 |
| Open LLM Leaderboard v1 - MMLU | 46.11 | Accuracy (%) (5-shot) | 24.6 |
Interactive version: theaggregate.ai/model?slug=llama-2-7b-32k-instruct-float16-rev-35696b9a7ab3 · How It Works · Data refreshed daily, snapshot 2026-11-08.